About the job Senior Data Engineer (Snowflake)
Remote | LatAm - WE ARE EXCLUSIVELY CONSIDERING APPLICATIONS FROM INDIVIDUALS
CURRENTLY RESIDING IN LATAM.
ONLY ENGLISH RESUMES WILL BE CONSIDERED
PLEASE NOTE THAT THIS ROLE REQUIRES ENGLISH PROFICIENCY (C1-C2 LEVEL)
ABOUT MOTUM
Motum connects experienced developers, engineers, and technical professionals with US companies building committed, long-term tech teams. Our roles are fully remote and full-time, designed for people who want real ownership, meaningful work, and the opportunity to grow inside US-based dynamic teams.
When you join Motum, you work full-time with one company, integrate directly into their team, and build a career with long-term impact. Ready to join us?
ABOUT THE ROLE
We are looking for a detail-oriented and results-driven Senior Data Engineer to join our US-based client's datateam. In this role, you'll build scalable pipelines, design Snowflake data warehouses and models, and prepare enterprise data for analytics and AI applications. If you love clean data models, enjoy squeezing performance and cost out of a warehouse,



and have shipped production ELT at scale - we want to hear from you.
RESPONSIBILITIES
- Build scalable data pipelines and transformation workflows.
- Design Snowflake data warehouses and data models.
- Develop ETL/ELT processes.
- Implement data quality and governance.
- Optimize queries and warehouse costs.
- Prepare enterprise data for analytics and AI applications.
- Orchestrate and monitor pipelines with Airflow and dbt.
- Collaborate with analytics and AI teams to deliver reliable, well-modeled data

REQUIRED QUALIFICATIONS
- Impeccable attention to detail and strong problem-solving skills.
- Excellent communication and interpersonal skills.
- Strong hands-on experience with Snowflake and advanced SQL. Proficiency in Python and dbt.
- Experience orchestrating pipelines with Airflow.
- Experience with AWS or Azure.
- Solid understanding of ETL/ELT patterns, data quality, and go

📌 Senior Data Engineer (Buenos Aires)
🏢 Motum
📍 Buenos Aires